An intelligent control system for operating an energy storage system

Abstract

The application discloses an energy storage system operation intelligent control system and belongs to the technical field of energy storage control; the energy storage system operation intelligent control system is used for solving the technical problem that active supervision and data active expansion utilization effect of different aspects of energy storage system operation control in the prior art are poor; different aspects of active supervision and processing combination of energy supply between the energy storage system and different target power grids are carried out; data analysis is carried out on conventional energy supply supervision processing sequences and conventional energy supply communication supervision processing sequences obtained through different aspects of processing; energy supply quality corresponding to single energy supply between the energy storage system and the target power grid is determined; whether the second abnormal index obtained through analysis has an influence on the occurrence of the first abnormal index is verified, analyzed and digitally processed; overall collaborative states between the energy storage system and different target power grids are processed and analyzed; and targeted local optimization processing prompts or overall optimization processing prompts are implemented.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of energy storage control, in particular to an intelligent control system for energy storage system operation. BACKGROUND

[0002] The intelligent control of the energy storage system aims to optimize the operation of the energy storage equipment through advanced algorithms and technologies to improve energy utilization efficiency, reduce costs, enhance grid stability and reliability.

[0003] The existing intelligent control scheme for energy storage system operation mostly remains preset and single regulatory rules for mechanical supervision of the operation of the energy storage system, cannot diversify the supervision and analysis of the energy supply between the energy storage system and different target grids, and cannot diversify the evaluation of the existing regulatory scheme, and actively manage and prompt the existing energy storage operation control according to the analysis results and evaluation results of different aspects, resulting in poor active supervision and data active expansion utilization effect of the energy storage system operation control in different aspects. SUMMARY

[0004] The present application aims to provide an intelligent control system for energy storage system operation to solve the technical problem of poor active supervision and data active expansion utilization effect of the energy storage system operation control in different aspects in the existing scheme.

[0005] The object of the present application can be achieved by the following technical solutions:

[0006] An intelligent control system for energy storage system operation includes an energy storage system energy supply single-time cooperative supervision and processing module for multi-dimensional supervision and processing combination of the entire energy supply process between the energy storage system and several target grids from different aspects, obtaining a conventional energy supply supervision and processing sequence and a conventional energy supply communication supervision and processing sequence between the energy storage system and different target grids;

[0007] An energy storage system energy supply single-time cooperative quality analysis module for data analysis of the obtained conventional energy supply supervision and processing sequence and conventional energy supply communication supervision and processing sequence, determination of the energy supply quality corresponding to single-time energy supply between the energy storage system and the target grid, verification analysis and digital processing of whether the second abnormal index has an impact on the occurrence of the first abnormal index, and obtaining the corresponding impact verification processing sequence;

[0008] An energy storage system energy supply overall cooperative supervision and processing module for processing and analysis of the overall cooperative state between the energy storage system and different target grids, and adaptive implementation of targeted local optimization processing prompts or overall optimization processing prompts for energy supply cooperation between the energy storage system and different target grids according to the analysis results.

[0009] Preferably, the energy supply system and the target power grid for energy supply are cooperatively monitored by using a plurality of preset energy supply monitoring indicators, and the monitoring data of the plurality of energy supply monitoring indicators are sequentially matched with the corresponding indicator standard range;

[0010] According to the matching result, the indicator identification mark of the energy supply monitoring indicator associated with the value of 0 or 1 is identified, and the energy supply monitoring indicator associated with the value of 1 is marked as a first abnormal indicator;

[0011] The indicator identification marks corresponding to all energy supply monitoring indicators when the energy storage system and the target power grid are energized are sorted and combined to obtain a corresponding normal energy supply monitoring processing sequence.

[0012] Preferably, the energy supply system and the target power grid for energy supply are cooperatively monitored by using a plurality of preset communication monitoring indicators, and the monitoring data of the plurality of communication monitoring indicators are sequentially matched with the corresponding indicator standard range;

[0013] According to the matching result, the indicator identification mark of the energy supply monitoring indicator associated with the value of 0 or 1 is identified, and the energy supply monitoring indicator associated with the value of 1 is marked as a first abnormal indicator;

[0014] The indicator identification marks corresponding to all energy supply monitoring indicators when the energy storage system and the target power grid are energized are sorted and combined to obtain a corresponding normal energy supply monitoring processing sequence.

[0015] Preferably, the data of the normal energy supply monitoring processing sequence and the normal energy supply communication monitoring processing sequence are analyzed;

[0016] If the elements in the normal energy supply monitoring processing sequence and the normal energy supply communication monitoring processing sequence are all 0, a whole reliable label of energy supply quality is generated and prompted;

[0017] If there is an element with a value of 1 in the normal energy supply monitoring processing sequence or the normal energy supply communication monitoring processing sequence, the total number of cooperative energy supply abnormalities or the total number of cooperative communication abnormalities between the energy storage system and the target power grid is increased by 1;

[0018] If there is an element with a value of 1 in the normal energy supply monitoring processing sequence and the normal energy supply communication monitoring processing sequence, the total number of cooperative energy supply abnormalities and the total number of cooperative communication abnormalities between the energy storage system and the target power grid are both increased by 1.

[0019] Preferably, whether all the second abnormal indicators have an impact on the occurrence of a plurality of first abnormal indicators is verified and analyzed;

[0020] If the second abnormal indicator has an impact on the occurrence of the first abnormal indicator, the total number of cooperative energy supply and communication between the energy storage system and the target power grid is increased by 1.

[0021] If the second abnormal indicator does not affect the occurrence of the first abnormal indicator, the influence verification identifier associated with the second abnormal indicator is 0;

[0022] The influence verification identifiers corresponding to the analysis of all second abnormal indicators are sorted and combined to obtain an influence verification processing sequence, and are associated with the overall unreliable label of energy supply quality obtained from the regulatory processing between the energy storage system and the corresponding target grid.

[0023] Preferably, the overall coordination state between the energy storage system and different target grids is processed and analyzed to obtain the energy supply quality data corresponding to all single energy supply between the energy storage system and different target grids, and the overall coordination value between the energy storage system and the target grid is obtained by calculation;

[0024] All overall coordination values obtained between the energy storage system and the target grid are sorted and combined to obtain the corresponding overall coordination processing sequence.

[0025] Preferably, the overall coordination processing sequence is analyzed, and if all elements in the overall coordination processing sequence are not greater than 1, it is prompted that the overall coordination between the energy storage system and the corresponding target grid is reliable;

[0026] If there is an element with a value greater than 1 in the overall processing sequence, it is prompted that the overall coordination between the energy storage system and the corresponding target grid is locally reliable, and the element with a value greater than 1 is optimized and prompted in the corresponding local aspect;

[0027] If all elements in the overall processing sequence are greater than 1, it is prompted that the overall coordination between the energy storage system and the corresponding target grid is unreliable, and an overall optimization processing prompt is performed.

[0028] Preferably, if the element with a value greater than 1 corresponds to the coordination energy supply aspect or the coordination communication aspect, the corresponding local aspect optimization processing prompt is performed;

[0029] If the element with a value greater than 1 corresponds to the coordination energy supply and communication influence aspect, the overall optimization processing prompt is performed.

[0030] Preferably, the overall coordination value ZXk between the energy storage system and the target grid is calculated in sequence by the formula The overall coordination value ZXk between the energy storage system and the target grid is calculated in sequence; in the formula, k is 1, 2, 3; N1, N2, N3 are the total number of abnormal coordination energy supply, the total number of abnormal coordination communication, and the total number of abnormal coordination energy supply and communication between the energy storage system and the target grid; NZ is the total number of energy supply between the energy storage system and the target grid; α1, α2, α3 are the first coordination standard value, the second coordination standard value, and the third coordination standard value between the energy storage system and the target grid.

[0031] Preferably, the energy supply quality data corresponding to all single energy supplies between the energy storage system and different target power grids is input into the overall synergy identification model for data analysis, and the analysis output value is set as the overall synergy value.

[0032] The overall synergy identification model is established based on an artificial intelligence model, and the artificial intelligence model includes a BP neural network model or an RBF neural network model.

[0033] Compared with the prior art, the present application has the following beneficial effects:

[0034] The present application realizes diversified monitoring and processing of single energy supply of the energy storage system, and also provides reliable local monitoring and processing data support for subsequent data expansion analysis of the energy storage system in different aspects.

[0035] The present application improves the diversity of monitoring and processing data analysis of single energy supply between the energy storage system and the target power grid, and actively expands the mining effect.

[0036] The present application realizes mining and expansion of monitoring and processing data of all single energy supplies between the energy storage system and different target power grids in the early stage, and improves the active monitoring and data active expansion utilization effect of the energy storage system in different aspects of operation control. BRIEF DESCRIPTION OF DRAWINGS

[0037] The present application will be further described below with reference to the accompanying drawings.

[0038] Figure 1 The flowchart of the operation of the intelligent control system of the energy storage system of the present application.

[0039] Figure 2 The flowchart of the verification analysis of whether the second abnormal index has an impact on the occurrence of a plurality of first abnormal indexes in the present application.

[0040] Figure 3 The flowchart of the traversal analysis of the overall synergy processing sequence in the present application. DETAILED DESCRIPTION

[0041] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work are within the scope of protection of the present application.

[0042] As shown in the drawings, Figure 1 The present application is an intelligent control system for operating an energy storage system, which comprises an energy storage system energy supply single-time collaborative supervision and processing module, an energy storage system energy supply single-time collaborative quality analysis module, and an energy storage system energy supply overall collaborative supervision and processing module.

[0043] The energy storage system energy supply single-time collaborative supervision and processing module is used to perform multi-dimensional supervision and processing combination on the entire energy supply process between the energy storage system and a plurality of target power grids from different aspects, to obtain a conventional energy supply supervision and processing sequence and a conventional energy supply communication supervision and processing sequence between the energy storage system and different target power grids; and comprises:

[0044] When the energy storage system supplies energy to a plurality of target power grids, an energy supply instruction is generated, and the energy storage system and the target power grid for energy supply are collaboratively supervised according to the energy supply instruction using a plurality of preset energy supply monitoring indicators, and the monitoring data of the plurality of energy supply monitoring indicators are sequentially matched with the corresponding indicator standard range.

[0045] The energy storage system is a technical device capable of storing energy and releasing it when needed, and its core function is to solve the mismatch between energy production and consumption in time and space.

[0046] The core components of the energy storage system include: energy storage medium, power conversion system (PCS), control system, and thermal management system.

[0047] In addition, the target power grid refers to the power grid to which the energy storage system supplies energy.

[0048] The plurality of energy supply monitoring indicators are determined according to existing conventional monitoring indicator requirements, specifically including but not limited to AGC power distribution period (rolling optimization period 5 minutes), single cell voltage (sampling rate 10 kHz), DC side ripple (FFT analysis to 50th harmonic), optical fiber temperature measurement (spatial resolution 0.1 m), infrared thermal imaging (temperature difference detection accuracy ±0.5℃), SCR (short circuit capacity ratio). Different energy supply monitoring indicators are all preset with corresponding indicator standard ranges. The specific values of the indicator standard ranges can be determined according to existing industry operation requirement data, or can be customized according to the actual application requirements of the actual application scenario.

[0049] If the monitoring data of the energy supply monitoring index all belong to the corresponding index standard range, the index identification mark of the energy supply monitoring index associated with the value 0 is identified;

[0050] If the monitoring data of the energy supply monitoring index do not belong to the corresponding index standard range, the index identification mark of the energy supply monitoring index associated with the value 1 is identified, and the energy supply monitoring index is marked as the first abnormal index;

[0051] All index identification marks corresponding to the energy supply monitoring index when the energy storage system supplies energy to the target power grid are sorted and combined to obtain a corresponding conventional energy supply supervision processing sequence;

[0052] In the embodiment of the application, through the supervision and processing of a plurality of energy supply monitoring indexes from the energy supply aspect, diversified supervision and data processing of single energy supply between the energy storage system and different target power grids can be performed, and the active supervision and analysis effect of the energy supply aspect is improved.

[0053] In addition, according to the energy supply instruction, a plurality of communication monitoring indexes are used to cooperatively supervise the energy supply communication between the energy storage system and the target power grid, and the monitoring data of the plurality of communication monitoring indexes are matched with the corresponding index standard range in sequence;

[0054] The plurality of communication monitoring indexes are also determined according to the existing conventional monitoring index requirements, and specifically include but are not limited to data packet loss rate (%) and communication delay (ms); different communication monitoring indexes are also pre-set corresponding index standard ranges, and the specific values of the index standard ranges can be determined according to the existing industry operation requirement data or can be customized according to the actual application demand of the actual application scene;

[0055] If the monitoring data of the communication monitoring index all belong to the corresponding index standard range, the index identification mark of the communication monitoring index associated with the value 0 is identified;

[0056] If the monitoring data of the communication monitoring index do not belong to the corresponding index standard range, the index identification mark of the communication monitoring index associated with the value 1 is identified, and the communication monitoring index is marked as the second abnormal index;

[0057] In the embodiment of the application, through the supervision and processing of a plurality of communication monitoring indexes from the energy supply communication aspect, diversified supervision and data processing of single energy supply communication between the energy storage system and different target power grids can be performed, and the active supervision and analysis effect of the energy supply communication aspect is improved.

[0058] All index identification marks corresponding to the communication monitoring index when the energy storage system supplies energy to the target power grid are sorted and combined to obtain a corresponding conventional energy supply communication supervision processing sequence;

[0059] In the embodiment of the present application, by combining the active supervision and processing of the energy supply between the energy storage system and different target power grids in different aspects, the corresponding conventional energy supply supervision and processing sequence and the conventional energy supply communication supervision and processing sequence are obtained, which realizes the diversified supervision and processing of the single energy supply of the energy storage system, and also provides reliable local supervision and processing data support for subsequent data expansion analysis of different aspects of the energy storage system.

[0060] The energy supply single cooperative quality analysis module is used for data analysis on the processed conventional energy supply supervision and processing sequence and the conventional energy supply communication supervision and processing sequence, determination of the energy supply quality corresponding to the single energy supply between the energy storage system and the target power grid, verification analysis and digital processing on whether the second abnormal index affects the occurrence of the first abnormal index, and obtaining of the corresponding influence verification processing sequence; comprising:

[0061] Data analysis on the conventional energy supply supervision and processing sequence and the conventional energy supply communication supervision and processing sequence;

[0062] If the elements in the conventional energy supply supervision and processing sequence and the conventional energy supply communication supervision and processing sequence are all 0, a whole reliable label of energy supply quality is generated and prompted;

[0063] If there is an element with a value of 1 in the conventional energy supply supervision and processing sequence or the conventional energy supply communication supervision and processing sequence, a local reliable label of energy supply quality is generated and prompted, and the first abnormal index or the second abnormal index corresponding to the value of 1 is alarmed, and the total number of cooperative energy supply abnormalities or the total number of cooperative communication abnormalities between the energy storage system and the target power grid is increased by 1;

[0064] If there is an element with a value of 1 in the conventional energy supply supervision and processing sequence and the conventional energy supply supervision and processing sequence, a whole unreliable label of energy supply quality is generated and prompted, and the total number of cooperative energy supply abnormalities and the total number of cooperative communication abnormalities between the energy storage system and the target power grid are both increased by 1;

[0065] In the embodiment of the present application, by data analysis on the conventional energy supply supervision and processing sequence and the conventional energy supply communication supervision and processing sequence obtained by the previous supervision and processing of different aspects of the single energy supply of the energy storage system, the energy supply quality corresponding to the single energy supply between the energy storage system and the target power grid is determined, and the analysis result is data-processed, which improves the supervision and analysis effect of the supply quality corresponding to the single energy supply between the energy storage system and different target power grids.

[0066] As shown in Figure 2 all the second abnormal indexes appearing according to the whole unreliable label of energy supply quality are verified and analyzed whether they affect the occurrence of the first abnormal index;

[0067] Wherein, the verification analysis, specifically can be determined by the professional technical personnel in the art according to work experience and work requirements, specific determination rules and determination steps are not described here;

[0068] If the second abnormal index has an impact on the occurrence of the first abnormal index, the influence verification mark associated with the second abnormal index is 1, and the total number of collaborative energy supply and communication between the energy storage system and the target power grid is increased by 1.

[0069] If the second abnormal index has no impact on the occurrence of the first abnormal index, the influence verification mark associated with the second abnormal index is 0.

[0070] It is worth noting that, unlike the prior art, the energy supply data is only processed and analyzed from a single aspect, or from different aspects, but the abnormal data of different aspects is not analyzed, and the mutual influence relationship is not traced back and verified, but only the analysis and prompt of the corresponding standard data are stopped.

[0071] In the embodiment of the application, by verifying the mutual influence relationship between the first abnormal index and the second abnormal index obtained by analyzing different aspects in the early stage, whether the occurrence of the first abnormal index is affected by the second abnormal index can be obtained, and reliable verification analysis data support can be provided for subsequent optimization management between the energy storage system and the target power grid in different aspects.

[0072] The influence verification marks corresponding to the analysis of all second abnormal indexes are sorted and combined to obtain an influence verification processing sequence, and are associated with the energy supply quality overall unreliable label obtained by monitoring and processing between the energy storage system and the corresponding target power grid.

[0073] In the embodiment of the application, by analyzing the data of the conventional energy supply monitoring processing sequence and the conventional energy supply communication monitoring processing sequence obtained by processing in different aspects, the energy supply quality corresponding to single energy supply between the energy storage system and the target power grid is determined, and whether the occurrence of the first abnormal index is affected by the second abnormal index is verified and digitized, which improves the diversity of single energy supply monitoring data processing and analysis between the energy storage system and the target power grid, and actively expands the mining effect.

[0074] The energy storage system energy supply overall collaborative monitoring and processing module is used for processing and analyzing the overall collaborative state between the energy storage system and different target power grids, and adaptively implementing targeted local optimization processing prompts or overall optimization processing prompts for energy supply collaboration between the energy storage system and different target power grids according to the analysis results.

[0075] When the overall coordination state between the energy storage system and different target power grids is processed and analyzed, the energy supply quality data corresponding to all single energy supply between the energy storage system and different target power grids is obtained, and the overall coordination value between the energy storage system and the target power grid is obtained through calculation;

[0076] Among them, the acquisition of the overall coordination value can be realized by different technical means:

[0077] Technical means one: obtaining the energy supply quality data corresponding to all single energy supply between the energy storage system and different target power grids, and calculating the overall coordination value between the energy storage system and the target power grid through the formula In turn, the overall coordination value between the energy storage system and the target power grid is obtained; in the formula, k is 1, 2, 3, which is the coordination energy supply aspect, coordination communication aspect, and coordination energy supply and communication influence aspect between the energy storage system and the target power grid; Nk is N1, N2, N3, which is the total number of abnormal coordination energy supply, the total number of abnormal coordination communication, and the total number of abnormal coordination energy supply and communication between the energy storage system and the target power grid; NZ is the total number of energy supply between the energy storage system and the target power grid; αk is α1, α2, α3, which are the first coordination standard value, the second coordination standard value, and the third coordination standard value between the energy storage system and the target power grid, and the specific values are not limited, which can be determined according to the existing energy supply industry requirement data, or can be customized by professional technicians in the field according to the actual application requirements of the actual application scene;

[0078] Technical means two: inputting the energy supply quality data corresponding to all single energy supply between the energy storage system and different target power grids into the overall coordination recognition model for data analysis, and setting the analysis output value as the overall coordination value;

[0079] Among them, the overall coordination recognition model is established based on an artificial intelligence model, and the artificial intelligence model includes a BP neural network model or an RBF neural network model;

[0080] Specifically, standard training data is obtained; wherein the standard training data includes standard input data consistent with the fault feature sequence content attribute, and standard output data representing the fault type;

[0081] The artificial intelligence model is trained through the standard training data, and after the training is completed, it is marked as a fault judgment model;

[0082] The standard training data includes standard input data consistent with the energy supply quality data attribute, and standard output data representing the overall coordination state; the standard training data is obtained by integrating and extracting historical monitoring big data, or is obtained by laboratory simulation;

[0083] It should be noted that the overall synergy value is used to process and calculate all energy supply quality data between the energy supply system and the target power grid to digitally represent the overall synergy state of energy supply;

[0084] All overall synergy values calculated and obtained between the energy storage system and the target power grid are sorted and combined to obtain a corresponding overall synergy processing sequence.

[0085] As shown in Figure 3 , if all elements in the overall synergy processing sequence are not greater than 1, it is prompted that the overall synergy between the energy storage system and the corresponding target power grid is reliable.

[0086] If there is an element with a value greater than 1 in the overall processing sequence, it is prompted that the overall synergy between the energy storage system and the corresponding target power grid is locally reliable, and the element with a value greater than 1 is subjected to corresponding local aspect optimization processing prompt.

[0087] If the element with a value greater than 1 corresponds to the synergy energy supply aspect or the synergy communication aspect, the corresponding local aspect optimization processing prompt is performed.

[0088] If the element with a value greater than 1 corresponds to the synergy energy supply and communication influence aspect, the overall aspect optimization processing prompt is performed.

[0089] It should be noted that the weight of the synergy energy supply and communication influence aspect in the embodiment of the present application is greater than the weight of the synergy energy supply aspect and the synergy communication aspect. When the synergy energy supply and communication influence aspect is abnormal, overall aspect optimization processing is required, which realizes the expansion of the result of verifying and analyzing whether there is a mutual influence relationship between the first abnormal index and the second abnormal index.

[0090] If all elements in the overall processing sequence are greater than 1, it is prompted that the overall synergy between the energy storage system and the corresponding target power grid is unreliable, and the overall aspect optimization processing prompt is performed.

[0091] Among them, the optimization processing prompt of different local aspects and the optimization processing prompt of the overall aspect only involve alarm prompts, and do not involve specific optimization processing schemes and optimization processing steps.

[0092] In the embodiment of the present application, the overall synergy state between the energy storage system and different target power grids is processed and analyzed, and according to the analysis result, the energy supply synergy between the energy storage system and different target power grids is adaptively subjected to targeted local optimization processing prompt or overall optimization processing prompt, which realizes the mining and expansion of the supervision processing data of all single energy supply between the energy storage system and different target power grids in the early stage, and improves the active supervision and data active expansion utilization effect of the energy storage system operation control in different aspects.

[0093] In several embodiments of the present application, it should be understood that the disclosed system can be implemented in other manners. For example, the division of the modules is merely logical function division, and there can be other division manners in actual implementation. For example, in a unit, a plurality of components or a plurality of modules can be combined or integrated into one component or module.

[0094] The modules described as separated components can or can not be physically separated, and the components displayed as modules can or can not be physical modules, and can be located in one place or distributed on a plurality of network modules. Part or all of the modules can be selected according to actual needs to achieve the purpose of the embodiments.

[0095] In addition, each functional module in each embodiment of the present application can be integrated into a processing module, or each module can exist physically, or two or more modules can be integrated into one module. The integrated module can be implemented in the form of hardware or in the form of hardware plus software functional module.

[0096] It is obvious for those skilled in the art that the present application is not limited to the details of the above exemplary embodiments, and the present application can be implemented in other specific forms without departing from the essential characteristics of the present application.

[0097] Finally, it should be noted that the above embodiments are merely used to illustrate the technical solutions of the present application but not limit the present application. Although the present application has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present application can be modified or replaced by equivalents without departing from the spirit and scope of the present application.

Claims

1. An intelligent control system for the operation of an energy storage system, characterized in that, The single-time cooperative energy supply supervision and processing module of the energy storage system is used for multi-dimensional supervision and processing combination of the whole energy supply process between the energy storage system and the target power grid from different aspects, to obtain the conventional energy supply supervision and processing sequence and the conventional energy supply communication supervision and processing sequence between the energy storage system and the different target power grids. The energy supply of the energy storage system and the target power grid is cooperatively supervised by using a plurality of preset energy supply monitoring indicators, and the monitoring data of the plurality of energy supply monitoring indicators are matched with the corresponding indicator standard range in sequence. The indicator identification of the energy supply monitoring indicator associated with the value of 0 or 1 is identified according to the matching result, and the energy supply monitoring indicator associated with the value of 1 is marked as a first abnormal indicator. The indicator identification corresponding to all energy supply monitoring indicators when the energy storage system and the target power grid are energized is sorted and combined to obtain the corresponding conventional energy supply supervision and processing sequence. The energy supply communication of the energy storage system and the target power grid is cooperatively supervised by using a plurality of preset communication monitoring indicators, and the monitoring data of the plurality of communication monitoring indicators are matched with the corresponding indicator standard range in sequence. The indicator identification of the energy supply monitoring indicator associated with the value of 0 or 1 is identified according to the matching result, and the energy supply monitoring indicator associated with the value of 1 is marked as a first abnormal indicator. The indicator identification corresponding to all energy supply monitoring indicators when the energy storage system and the target power grid are energized is sorted and combined to obtain the corresponding conventional energy supply supervision and processing sequence. The single-time cooperative quality analysis module of the energy storage system is used for data analysis of the conventional energy supply supervision and processing sequence and the conventional energy supply communication supervision and processing sequence obtained by processing, to determine the energy supply quality corresponding to the single-time energy supply between the energy storage system and the target power grid, and to verify and analyze whether the second abnormal indicator affects the occurrence of the first abnormal indicator and to process digitally to obtain the corresponding influence verification processing sequence. The overall cooperative supervision and processing module of the energy storage system is used for processing and analysis of the overall cooperative state between the energy storage system and different target power grids, and according to the analysis result, the energy supply cooperation between the energy storage system and different target power grids is adaptively implemented with targeted local optimization processing prompts or overall optimization processing prompts.

2. The intelligent control system for operating an energy storage system of claim 1, wherein, Data analysis is performed on the conventional energy supply supervision and processing sequence and the conventional energy supply communication supervision and processing sequence. If the elements in the conventional energy supply supervision and processing sequence and the conventional energy supply communication supervision and processing sequence are all 0, a whole energy supply quality reliable label is generated and prompted. If there is an element with a value of 1 in the conventional energy supply supervision and processing sequence or the conventional energy supply communication supervision and processing sequence, the total number of cooperative energy supply abnormalities or the total number of cooperative communication abnormalities between the energy storage system and the target power grid is increased by 1. If there is an element with a value of 1 in the conventional energy supply supervision and processing sequence and the conventional energy supply supervision and processing sequence, the total number of cooperative energy supply abnormalities and the total number of cooperative communication abnormalities between the energy storage system and the target power grid are both increased by 1.

3. An intelligent control system for operating an energy storage system according to claim 2, wherein, Verification analysis is performed on whether all the second abnormal indicators affect the occurrence of a plurality of first abnormal indicators. If the second abnormal index has an impact on the occurrence of the first abnormal index, the number of collaborative energy supply and communication impacts between the energy storage system and the target power grid is increased by one; If the second abnormal index has no impact on the occurrence of the first abnormal index, the impact verification identifier associated with the second abnormal index is set to 0; The impact verification identifiers corresponding to all second abnormal indexes are sorted and combined to obtain an impact verification processing sequence, and the impact verification processing sequence is associated with the overall unreliable label of the energy supply quality obtained from the regulatory processing between the energy storage system and the corresponding target power grid.

4. The intelligent control system for operating an energy storage system of claim 3, wherein, The overall collaborative state between the energy storage system and different target power grids is processed and analyzed to obtain the energy supply quality data corresponding to all single energy supplies between the energy storage system and different target power grids, and the overall collaborative value between the energy storage system and the target power grid is obtained by calculation; All overall collaborative values obtained by calculation between the energy storage system and the target power grid are sorted and combined to obtain the corresponding overall collaborative processing sequence.

5. An intelligent control system for operating an energy storage system according to claim 4, wherein, If all elements in the overall collaborative processing sequence are not greater than 1, it is prompted that the overall collaboration between the energy storage system and the corresponding target power grid is reliable; If there is an element with a value greater than 1 in the overall processing sequence, it is prompted that the overall collaboration between the energy storage system and the corresponding target power grid is locally reliable, and the element with a value greater than 1 is subjected to corresponding local aspect optimization processing prompt; If all elements in the overall processing sequence are greater than 1, it is prompted that the overall collaboration between the energy storage system and the corresponding target power grid is unreliable, and the overall aspect optimization processing prompt is performed.

6. An intelligent control system for operating an energy storage system according to claim 5, wherein, If the element with a value greater than 1 corresponds to the collaborative energy supply aspect or the collaborative communication aspect, the corresponding local aspect optimization processing prompt is performed; If the element with a value greater than 1 corresponds to the collaborative energy supply and communication impact aspect, the overall aspect optimization processing prompt is performed.

7. The intelligent control system for operating an energy storage system of claim 4, wherein, By formula The overall coordination value ZXk between the energy storage system and the target power grid is sequentially calculated; in the formula, k is 1, 2, 3; N1, N2, N3 are respectively the total number of abnormal coordination of energy supply, the total number of abnormal coordination of communication, and the total number of abnormal coordination of energy supply and communication between the energy storage system and the target power grid; NZ is the total number of energy supply between the energy storage system and the target power grid; α1, α2, α3 are respectively the first coordination standard value, the second coordination standard value, and the third coordination standard value between the energy storage system and the target power grid.

8. The intelligent control system for operating an energy storage system of claim 4, wherein, The energy supply quality data corresponding to all single energy supplies between the energy storage system and different target power grids is input into the overall collaborative recognition model for data analysis, and the analysis output value is set as the overall collaborative value; The overall collaborative recognition model is established based on an artificial intelligence model, and the artificial intelligence model includes a BP neural network model or an RBF neural network model.

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